Different correlation metrics can be used for assessing model fairness, e.g. [1]}, [2]}, [3]}, [4]} and our visualization design has been developed to support fairness analysis based on any such metric.
However, for consistency and based on recent insights [5]}, our experiments and evaluation were conducted entirely on the basis of normalized Pointwise Mutual Information (nPMI), as proposed by Gerlof Bouma [6]}:
\(i_n(x,y) = ln(\frac{p(x,y)}{p(x)p(y)}) / -ln(p(x,y))\) 
